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A Requirements Analysis for Parallel KDD Systems
[chapter]
2000
Lecture Notes in Computer Science
The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of this bottleneck by considering an integrated hardware and software approach to parallelize data mining. Our analysis shows that parallel data mining solutions require the following components: parallel data mining algorithms, parallel and distributed data bases, parallel file systems, parallel I/O, tertiary storage, management of
doi:10.1007/3-540-45591-4_47
fatcat:ekp6fbwpufh3bd4y6o5e6syz2i